Description: Recent research from Financial Finesse introduces a viable way to forecast the potential return on investment (ROI) of workplace financial wellness programs.

Description: In this article, the author comments about an exposure draft of a proposed revision of Actuarial Standard of Practice 23 dealing with data quality.

Description: Expanding channels and datasets to understand our policyholders

Description: This article provides a very high level overview of accelerated underwriting programs and their history in the US marketplace. It then discusses setting up an actuarial control cycle for such products and some items related to risk management that are helpful in this setting. Pros and cons of retrospective studies, random holdouts, targeted holdouts and post issue analysis are discussed. A mathematical example of how to estimate the mortality impact of such programs from early emerging experience is provided.

Description: An analysis of US population mortality trends and the impact of COVID.

Description: This article provides an overview of critical illness insurance: history, product description, and the three primary ways to offer critical illness coverage in the United States. This article also contains an illustration of an issue age premium rate calculation, as well as product features and rating applications specific to the various types of critical illness coverage.

Description: The article highlights the key components of the PBR resource manual and analyze its implications for companies' assumption management practice.

Description: This article is seeking participation from companies focused on nontraditional products and/or nontraditional distribution for the SOA Inter-Company Expense Study.

Description: Feature article discussing actuarial assumptions in the investment world and financial models.

Description: CMS provides ACOs with monthly claims data for members, including their medical visits and ACO program eligibility. This data can be divided into Membership and Claims tables through the ETL process. However, when calculating PMPY at specific levels of detail using these tables, issues arise due to unrelated dimensions, leading to inaccurate and understated results. This article presents a solution to this problem by utilizing Tableau's data blending capabilities.